What are some ways to address the vanishing/exploding gradient issue?
The following are some options that have been shown to reduce the risk of experiencing a vanishing or exploding gradient
The following are some options that have been shown to reduce the risk of experiencing a vanishing or exploding gradient
The vanishing or exploding gradient is an issue often encountered in the training of deep Neural Networks.
In a deep network with many hidden layers, it can be very computationally intensive to compute derivatives of all of the parameters of the network.
Classical statistics tends to focus more on the process of inference, or learning from data, while in Machine Learning, prediction accuracy is usually more of interest.